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基于在线小波变换的毛细管电泳信号滤噪方法
引用本文:史大明,瞿海斌,程翼宇. 基于在线小波变换的毛细管电泳信号滤噪方法[J]. 江南大学学报(自然科学版), 2007, 6(3): 340-344
作者姓名:史大明  瞿海斌  程翼宇
作者单位:浙江大学,药物信息学研究所,浙江,杭州,310027
摘    要:将在线小波变换用于毛细管电泳信号的滤噪处理,满足了毛细管电泳信号采集过程中实时处理和监控的需求.针对毛细管电泳信号的特点,采用固定时间窗的在线小波变换,并给出最佳时间窗长的选择方法.模拟信号和冬虫夏草的毛细管电泳信号滤噪实验的结果表明,该方法在保持峰位与峰高不变的情况下可显著提高信噪比,有效滤除了噪声峰.

关 键 词:在线小波变换  滤噪  毛细管电泳信号  在线小波变换  毛细管电泳信号  信号滤噪  选择方法  Wavelet Transform  Online  Based  Signals  Capillary Electrophoresis  噪声  高信噪比  情况  峰高  结果  实验  冬虫夏草  模拟信号  窗长  时间窗  最佳
文章编号:1671-7147(2007)03-0340-05
收稿时间:2006-03-10
修稿时间:2006-03-102006-05-20

Filter of Capillary Electrophoresis Signals Based on Online Wavelet Transform
SHI Da-ming,QU Hai-bin,CHENG Yi-yu. Filter of Capillary Electrophoresis Signals Based on Online Wavelet Transform[J]. Journal of Southern Yangtze University:Natural Science Edition, 2007, 6(3): 340-344
Authors:SHI Da-ming  QU Hai-bin  CHENG Yi-yu
Affiliation:Institute of Pharmaceutical Informatics, Zhejiang University, Hangzhou 310027,China
Abstract:A filter of capillary electrophoresis signals with online wavelet transform was developed. The online wavelet transform with fixed time window was used and how to select the best length of time window was discussed. The simulated signals and the capillary electrophoresis signals of Cordyceps sinens were used to test this method. The results showed that this method could significantly improve the signal-to-noise ratio and efficiently filter the noise peaks. But, the peak position and the peak value remained unchanged.
Keywords:on-line wavelet transform   noise filtering   capillary electrophoresis signals
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